LLM 教程

Learn what Moonshot’s Kimi K2.5 is, how Agent Swarm works, and see it in action through four hands-on, real-world experiments.

Set up OpenClaw(formerly Clawdbot/Moltbot), a self-hosted agent connecting Claude to your Mac via WhatsApp. Search files and run shell commands from your phone.

Upgrade to Transformers v5. A practical guide to the unified Rust backend, API changes, and side-by-side v4 vs v5 migration patterns for encoding and chat.

Explore the architecture of Google’s managed MCP servers and learn how to turn LLMs into proactive operators for BigQuery, Maps, GCE, and Kubernetes.

Setting up llama.cpp to run the GLM-4.7 model on a single NVIDIA H100 80GB GPU, achieving up to 20 tokens per second using GPU offloading, Flash Attention, optimized context size, efficient batching, and tuned CPU threading.

Learn how to run GLM-4.7-Flash on an RTX 3090 for fast local inference and integrating with OpenCode to build a fully local automated AI coding agent.

Learn how to fine-tune FunctionGemma in under 10 minutes using Kaggle’s free GPUs, from dataset preparation and baseline evaluation to training and post-fine-tuning validation.

Learn how hook-based automation works and get started using Claude Code hooks to automate coding tasks like testing, formatting, and receiving notifications.

Learn what Claude Cowork is and how to use for file organization, document generation, and browser automation. Hands-on tutorial with real examples and limitations.

A hands-on, end-to-end guide to fine-tuning T5Gemma-2 (270M-270M) for LaTeX OCR, showing how to correctly train and run inference with a multimodal encoder–decoder model using a small dataset.

A simple step-by-step guide to running FLUX.2 locally for high-quality image generation and editing.

Explore what’s new in Claude Code 2.1 by running a set of focused experiments on an existing project repository within CLI and web workflows.